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Data Analytics Associate Jobs in Minnesota (NOW HIRING)

Pwc

Data Engineer - Manager

Minneapolis, MN

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Pwc

Data Strategy & Governance -Director

Minneapolis, MN

$155K - $410K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer/Data Analyst/ML - Proven leadership in data-driven strategies - Demonstrating ...

Pwc

Data Engineer - Senior Manager

Minneapolis, MN

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Associate] is a plus - Designing and implementing thorough data architecture strategies ...

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How much do data analytics associate jobs pay per month?

As of May 31, 2026, the average monthly pay for data analytics associate in Minnesota is $6,161.08, according to ZipRecruiter salary data. Most workers in this role earn between $5,591.67 and $6,566.67 per month, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analytics Associate, and why are they important?

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

How does a Data Analytics Associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

What does a Data Analytics Associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.
What are the most commonly searched types of Data Analytics jobs in Minnesota? The most popular types of Data Analytics jobs in Minnesota are:
What cities in Minnesota are hiring for Data Analytics Associate jobs? Cities in Minnesota with the most Data Analytics Associate job openings:
Data Analytics Associate jobs near you
Manager, Data Engineering

Manager, Data Engineering

Post Consumer Brands

Lakeville, MN

Full-time

Posted 21 days ago

Post Consumer Brands rating

8.0

Company rating: 8.0 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

76th of 379 rated food and drinks producers

Job description

Business Unit Overview

Headquartered in Lakeville, Minn., Post Consumer Brands, a business unit of Post Holdings, Inc., is dedicated to providing people and their pets with delicious food choices for every taste and budget. The company's portfolio includes beloved brands such as Honey Bunches of Oats™, PEBBLES™, Grape-Nuts™ and Malt-O-Meal™ cereal and Peter Pan™ peanut butter, as well as Rachael Ray® Nutrish™, Kibbles 'n Bits™ and 9Lives™ dog and cat food. Post also provides private label solutions to customers in pet food, cereal, nut butters and granola. As a company committed to high standards of quality and to our values, we are driven by one idea: To make lives better by making delicious food accessible for all. For more information about our brands, visit www.postconsumerbrands.com and follow us on LinkedIn or Facebook for the latest news.


Location Description

Post Consumer Brands corporate headquarters in Lakeville, Minnesota, is about 20 miles south of Minneapolis and St. Paul, Lakeville has all the benefits of smaller town living with access to everything a large metropolitan area has to offer. Join more than 400 team members collaborating on the two-building campus to help put breakfast on the tables of millions of consumers in North America. 


Responsibilities
Manager, Data Engineering

Location: Hybrid in Lakeville, MN

About the Role
At Post Consumer Brands, data is a strategic asset and the Manager, Data Engineering plays a pivotal role in shaping how we turn data into insight, impact, and innovation. This role leads the design, development, and operation of our modern data engineering foundation, powering trusted analytics, selfservice reporting, and AIready data products across the enterprise.
 
You’ll lead a team of data engineers responsible for building highquality, scalable data pipelines, data models, and semantic layers that support critical business decisions. Acting as both a people leader and technical leader, you’ll balance delivery speed, reliability, and forwardlooking modernization, while partnering closely with Analytics Solutions, Architecture, Governance, and business stakeholders.
 
This role reports to the Associate Director of Data & Analytics and serves as a key technical leader within our evolving, productoriented data ecosystem.
Key Responsibilities
Data Engineering Foundation & Delivery
  • Lead the design, development, and maintenance of data pipelines, data models, semantic models, and data platforms aligned to enterprise standards
  • Deliver curated, durable, and reusable data assets aligned to priority business decision domains
  • Ensure timely, accurate, and reliable availability of data across enterprise analytics use cases
Technical Design & Scalability
  • Partner with Data & Analytics Architecture to align solutions with enterprise standards and best practices
  • Ensure platforms and pipelines are scalable, performant, maintainable, and adaptable
  • Make informed tradeoff decisions across performance, cost, and delivery speed
Modern Data Ecosystem Enablement
  • Build AI/MLready and productoriented data engineering capabilities
  • Engineer lowlatency and realtime data pipelines for operational analytics and intelligent applications
  • Develop ingestion and processing frameworks for structured and unstructured data
Data Trust, Reliability & Operational Readiness
  • Embed data quality, documentation, lineage, and observability into data assets
  • Ensure productiongrade reliability and operational readiness in partnership with Governance and D&A Operations
Enablement of Analytics & SelfService
  • Partner with Analytics Solutions to enable BI, advanced analytics, and data science
  • Deliver trusted, wellmodeled semantic layers that empower selfservice analytics
Team Leadership & Capability Development
  • Lead, mentor, and develop a team of onshore data engineers and coordinate with offshore partners
  • Foster a culture of engineering excellence, accountability, and continuous improvement
  • Drive adoption of modern tools, practices, and AIenabled engineering workflows
Operational Excellence & Continuous Improvement
  • Translate enterprise priorities into executable delivery plans
  • Balance speed, quality, and sustainability across delivery and operations
  • Leverage automation and AI tools to improve efficiency and code quality

Qualifications
What We’re Looking For
Required Qualifications
  • 5+ years of experience in data engineering, data warehousing, or related disciplines
  • 2+ years of experience leading data engineering teams and enterprisescale platforms
  • Strong experience with modern cloud data stacks (e.g., Snowflake, dbt, ELT tools)
  • Proven expertise in data modeling, including dimensional and domainoriented/semantic models
  • Experience building productiongrade pipelines with testing, monitoring, and CI/CD
  • Familiarity with data quality, observability, and governance practices
  • Experience leveraging AI tools to accelerate engineering workflows
  • Strong collaboration, communication, and stakeholdermanagement skills
  • Bachelor’s Degree REQUIRED in a technical or quantitative field (advanced degree preferred)
Preferred Qualifications
  • Experience in CPG, manufacturing, supply chain, or commercial analytics
  • Experience in federated or productoriented data operating models
  • Exposure to realtime streaming, generative AI, LLMenabled analytics, or RAG architectures
  • Working knowledge of metadata, lineage, access controls, and data governance concepts
  • Strong business acumen and comfort operating in ambiguity
Why You’ll Love This Role
At Post Consumer Brands, you’ll find big company opportunity with a small company attitude, the chance to work with iconic brands and enterprisescale data, while still having the autonomy to make meaningful impact. You’ll help shape a modern, AIready data foundation, lead and grow a talented engineering team, and directly influence how data drives smarter decisions across the business.
We value curiosity, ownership, and outcomes. You’ll be trusted to build clarity, elevate standards, and move the organization forward, while being supported by a collaborative, growthoriented culture that respects worklife balance and personal development.

Ready to Make an Impact?

If you’re excited to lead, build, and modernize data engineering capabilities that power real business outcomes and you thrive in an environment where your ideas and leadership truly matter, we’d love to hear from you! Apply today and help shape the future of data at Post Consumer Brands.
The pay range for this position is $102,931 - $152,338 per year.Qualifications:What We’re Looking For
Required Qualifications
  • 5+ years of experience in data engineering, data warehousing, or related disciplines
  • 2+ years of experience leading data engineering teams and enterprisescale platforms
  • Strong experience with modern cloud data stacks (e.g., Snowflake, dbt, ELT tools)
  • Proven expertise in data modeling, including dimensional and domainoriented/semantic models
  • Experience building productiongrade pipelines with testing, monitoring, and CI/CD
  • Familiarity with data quality, observability, and governance practices
  • Experience leveraging AI tools to accelerate engineering workflows
  • Strong collaboration, communication, and stakeholdermanagement skills
  • Bachelor’s Degree REQUIRED in a technical or quantitative field (advanced degree preferred)
Preferred Qualifications
  • Experience in CPG, manufacturing, supply chain, or commercial analytics
  • Experience in federated or productoriented data operating models
  • Exposure to realtime streaming, generative AI, LLMenabled analytics, or RAG architectures
  • Working knowledge of metadata, lineage, access controls, and data governance concepts
  • Strong business acumen and comfort operating in ambiguity
Why You’ll Love This Role
At Post Consumer Brands, you’ll find big company opportunity with a small company attitude, the chance to work with iconic brands and enterprisescale data, while still having the autonomy to make meaningful impact. You’ll help shape a modern, AIready data foundation, lead and grow a talented engineering team, and directly influence how data drives smarter decisions across the business.
We value curiosity, ownership, and outcomes. You’ll be trusted to build clarity, elevate standards, and move the organization forward, while being supported by a collaborative, growthoriented culture that respects worklife balance and personal development.

Ready to Make an Impact?

If you’re excited to lead, build, and modernize data engineering capabilities that power real business outcomes and you thrive in an environment where your ideas and leadership truly matter, we’d love to hear from you! Apply today and help shape the future of data at Post Consumer Brands.
Education:UNAVAILABLEEmployment Type: FULL_TIME

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